Automatic term extraction aims at extracting terminological units from specialized corpora in order to assist terminolographers to develop lexicographic resources. In this paper, we introduce Domain Concept Relatedness, a novel term extraction technique meant to isolate the terminology of a given subject field. In order to evaluate our technique, we apply it to the extraction of waste management terms from a new Italian corpus about waste management legislation. We test it against Sketch Engine and the contrastive approach showing that our technique effectively extracts multi-word terms belonging to a given subject field but still fails to extract single-word terms.
Isolating Terminology Layers in Complex Linguistic Environments: a Study About Waste Management (Short Paper)
Cirillo N.
2023
Abstract
Automatic term extraction aims at extracting terminological units from specialized corpora in order to assist terminolographers to develop lexicographic resources. In this paper, we introduce Domain Concept Relatedness, a novel term extraction technique meant to isolate the terminology of a given subject field. In order to evaluate our technique, we apply it to the extraction of waste management terms from a new Italian corpus about waste management legislation. We test it against Sketch Engine and the contrastive approach showing that our technique effectively extracts multi-word terms belonging to a given subject field but still fails to extract single-word terms.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
